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hanxueyuan

Applied Materials

by hanxueyuan · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
65
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Install in OpenClaw
/install applied-materials
Description
全球领先的半导体设备供应商,提供沉积、刻蚀、CMP等关键制造设备,支撑现代芯片工厂运营。
README (SKILL.md)

Applied Materials

概述

半导体制造设备全球龙头,'芯片背后的芯片'——没有AMAT的设备就没有现代芯片工厂。

历史时间线

  • 1967年 | Michael McNeilly在加州圣克拉拉创立Applied Materials
  • 1970年代 | 开发首款商用溅射沉积设备
  • 1992年 | 推出首位Applied Precision,进入化学机械抛光领域
  • 2000年代 | 通过收购扩展产品线,成为全球最大的半导体设备供应商
  • 2019年 | 因出口管制面临对华业务挑战
  • 2023年 | AI芯片需求爆发带动设备订单激增
  • 2024年 | 营收超270亿美元,在沉积、刻蚀、CMP等多个细分领域全球份额第一

商业模式

为半导体制造提供设备(沉积、刻蚀、离子注入、CMP、检测测量)和服务。客户包括台积电、三星、Intel等芯片制造商。收入周期性但长期受益于芯片需求增长。

护城河分析

技术领先(在多个工艺节点拥有关键专利)、客户粘性极高(芯片厂一旦采用某设备很少更换)、研发投入巨大、全球服务网络。与ASML、Tokyo Electron构成全球半导体设备三强。

关键数据

2024年营收约270亿美元,员工约3.3万人,研发投入约20亿美元,全球市占率在沉积和CMP领域超过50%。

有趣事实

  • Applied Materials被称为'芯片制造的工具箱'——一台先进芯片需要经过超过1000道工序,其中约80%需要AMAT的设备。
  • 公司早期创始人之一是一位意大利移民,他用借来的5000美元和车库里的设备开始了半导体设备生意。
Usage Guidance
This skill is low-risk: it only provides a static profile of Applied Materials and requires no installs or secrets. The only minor caveat is provenance — the source/homepage are unspecified and the owner ID is opaque, so verify content accuracy before using it for important analysis. If you need authoritative or up-to-date financial/legal data, cross-check against official filings or credible news sources.
Capability Analysis
Type: OpenClaw Skill Name: applied-materials Version: 1.0.0 The skill bundle is purely informational, providing historical and business data about Applied Materials (AMAT). The content in SKILL.md and _meta.json contains no executable code, network requests, or prompt injection attempts, and is entirely consistent with its stated purpose of providing industry research context.
Capability Assessment
Purpose & Capability
The name/description (Applied Materials company profile) matches the SKILL.md content (company overview, timeline, business analysis). Nothing in the package requests unrelated capabilities.
Instruction Scope
SKILL.md is pure informational text with 'read_when' guidance for when the agent should consult it. It does not instruct the agent to run commands, read files, access environment variables, or transmit data to external endpoints.
Install Mechanism
No install spec and no code files are present, so nothing will be written to disk or executed during install. This is the lowest-risk installation posture.
Credentials
The skill declares no required environment variables, credentials, or config paths — proportional and minimal for an informational skill.
Persistence & Privilege
always is false and the skill does not request persistent or elevated privileges. Autonomous invocation is allowed (platform default) but the skill has no actions that would leverage elevated presence.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install applied-materials
  3. After installation, invoke the skill by name or use /applied-materials
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- 首次发布 Applied Materials 技能,系统性梳理其行业地位与发展历程。 - 提供从1967年至2024年关键发展时间线,涵盖技术突破、市场扩张与营收数据。 - 详述商业模式、护城河及全球市场份额。 - 汇总2024年公司核心数据(营收、员工、研发投入等)。 - 增加趣味公司轶事,提升可读性。
Metadata
Slug applied-materials
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Applied Materials?

全球领先的半导体设备供应商,提供沉积、刻蚀、CMP等关键制造设备,支撑现代芯片工厂运营。 It is an AI Agent Skill for Claude Code / OpenClaw, with 65 downloads so far.

How do I install Applied Materials?

Run "/install applied-materials" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Applied Materials free?

Yes, Applied Materials is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Applied Materials support?

Applied Materials is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Applied Materials?

It is built and maintained by hanxueyuan (@hanxueyuan); the current version is v1.0.0.

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